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Update README.md

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@@ -2,7 +2,7 @@
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  license: other
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  license_name: tongyi-qianwen-research
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  license_link: >-
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- https://huggingface.co/Qwen/Qwen2-beta-0_5B-Chat/blob/main/LICENSE
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  language:
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  - en
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  pipeline_tag: text-generation
@@ -10,12 +10,12 @@ tags:
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  - chat
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  ---
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- # Qwen2-beta-0.5B-Chat
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  ## Introduction
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- Qwen2-beta is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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  * 6 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, and 72B;
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  * Significant performance improvement in human preference for chat models;
@@ -47,10 +47,10 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  device = "cuda" # the device to load the model onto
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  model = AutoModelForCausalLM.from_pretrained(
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- "Qwen/Qwen2-beta-0_5B-Chat",
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  device_map="auto"
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  )
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- tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-beta-0_5B-Chat")
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  prompt = "Give me a short introduction to large language model."
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  messages = [
 
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  license: other
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  license_name: tongyi-qianwen-research
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  license_link: >-
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+ https://huggingface.co/Qwen/Qwen-1.5-0_5B-Chat/blob/main/LICENSE
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  language:
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  - en
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  pipeline_tag: text-generation
 
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  - chat
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  ---
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+ # Qwen-1.5-0.5B-Chat
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  ## Introduction
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+ Qwen-1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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  * 6 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, and 72B;
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  * Significant performance improvement in human preference for chat models;
 
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  device = "cuda" # the device to load the model onto
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  model = AutoModelForCausalLM.from_pretrained(
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+ "Qwen/Qwen-1.5-0_5B-Chat",
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  device_map="auto"
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  )
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+ tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-1.5-0_5B-Chat")
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  prompt = "Give me a short introduction to large language model."
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  messages = [